In this paper, a gene expression programming (GEP) based algorithm is implemented for powersystem transient security classification. The GEP algorithms as evolutionary algorithms for patternclassification have recently received attention for classification problems because they can performglobal searches. The proposed methodology applies the GEP for the first time in transient securityassessment and classification problems of power systems. The proposed algorithm is examinedusing different IEEE standard test systems. Power system three phase short circuit contingencyhas been used to test the proposed algorithm. The algorithm checks the static security status ofthe power system then classifies the transient security of the power system as secure or not

secure. Performance of the algorithm is compared with other neural network based classificationalgorithms to show its superiority for transient security classification.

This paper presents an approach to find the optimal location of thyristor controlled seriescompensators (TCSC) in a power system to improve the loadability of its lines and minimize itstotal loss. Also the proposed approach aims to find the optimal number of devices and theiroptimal compensation levels by using genetic algorithm (GA) based approach with taking intoconsideration the thermal and voltage limits. Examination of the proposed approach is carried outon a modified IEEE 30-bus system.

Devices to Optimize Total TransmissionCapacity in a Competitive Power Market. In: Proceedings of the IEEE Power EngineeringSociety Transmission and Distribution Conference (Winter Meeting), Columbus, OH, pp.587-593 (January 2001)

This paper presents an adaptive protection scheme for optimal coordination of overcurrentrelays (OCR) in interconnected power networks with an improved formulation. The schemeadapts to system changes;new relays settings are implemented as load, generation-level orsystem-topology changes. The software developed for this application is described. Thedeveloped scheme is applied to the IEEE 30-bus test system. Results showed theimportance and necessity of this scheme in maintaining the optimal performance of the ...

Published In:

Electric Power Systems Research

References

An adaptive protection scheme for optimal coordination of overcurrent relays

The proposed fault diagnosis scheme (FDS) consists of three hierarchical levels. In the first level, a pre-processing of input data is performed. In the second level, there is an ANN which is designed to detectthe fault and determine the faulted side if any. In the third level, there are two sides diagnosis systems.Each system is dedicated to one side and consists of one ANN in series with four paralleled ANNs (forfault type classification). ... The proposed FDS is trained and tested using local measurements of three-phase primary voltage and primary and ...

Published In:

Electric Power Systems Research

References

A neural network-based scheme for fault diagnosis of power transformers

EA Mohamed, AY Abdelaziz, AS Mostafa-

Electric Power Systems Research, 2005

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Distribution system reconfiguration using a modifiedTabu Search algorithm

This article presents an efficient meta-heuristic method for reconfiguration of distributionsystems. A modified Tabu Search (MTS) algorithm is used to reconfigure distributionsystems so that active power losses are globally minimized with turning on/offsectionalizing switches. TS algorithm

is introduced with some modifications such as using atabu list with variable size according to the system size. Also, a random multiplicative moveis used in the search process to diversify the search toward unexplored regions. The ...

This paper presents the particle swarm optimization (PSO) algorithm for solving the optimaldistribution system reconfiguration problem for power loss minimization. The PSO is arelatively new and powerful intelligence evolution algorithm for solving optimizationproblems. It is a population-based approach. The PSO is originally inspired from the socialbehavior of bird flocks and fish schools. The proposed PSO algorithm in this paper isintroduced with some modifications such as using an inertia weight that decreases linearly ...

This paper introduces a solution of the dynamic economic dispatch (DED) problem using ahybrid approach of Hopfield neural network (HNN)and quadratic programming (QP). Thehybrid algorithm is based on using enhanced HNN; to solve the static part of the problem;the QP algorithm for solving the dynamic part of the DED. This technique guarantees theglobal optimality of the solution due to its look-ahead capability. The new algorithm isapplied and tested to an example from the literature and the solution is then compared ...